Requirements

5+ years experience designing, developing, deploying, and monitoring machine learning and deep learning solutions
Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, spaCy, or scikit-learn
Programming experience in one or more languages: Python, C#, Java, C/C++
Bachelor’s degree in computer science, physics, statistics, econometrics, operations research, applied mathematics, or a related computational field
Knowledge and application of NLP techniques including Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction
Understanding of machine learning concepts such as training, validation, testing, precision/recall, bias/variance
Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured datasets

Nice to Haves

Experience developing and deploying sequence-based deep learning models
Familiarity with latest large language model technologies (e.g., GPT, Gemini, LLaMA)
Experience in computer vision
Strong desire for continuous learning to stay ahead of industry trends and technologies
Experience with language-agnostic contract clause recognition development

Collaborate with the ML team to research, test, and evaluate NLP/ML/DL methods applicable to contractual/legal data
Maintain and extend rule-based, supervised, and unsupervised NLP methods
Develop machine learning models that enhance personalized and automated customer experiences
Understand and improve existing training, maintenance, and enrichment processes
Work closely with product management to convert requirements into machine learning success metrics
Deploy models to production using current and emerging ML methods and technologies
Gain knowledge of Docusign’s product architecture and software development lifecycle

Hybrid work model with minimum 2 days per week in-office presence
Commitment to equal opportunity, inclusive work environment, and employee well-being
Supportive culture focused on trust, honesty, and making a positive impact
Reasonable accommodations for individuals with disabilities and religious needs during application process